R version 2.9.0 (2009-04-17)
Copyright (C) 2009 The R Foundation for Statistical Computing
ISBN 3-900051-07-0

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> x <- c(9.26,9.29,9.28,9.31,9.27,9.27,9.28,9.25,9.32,9.33,9.31,9.3,9.29,9.33,9.35,9.35,9.37,9.37,9.35,9.33,9.34,9.37,9.33,9.31,9.26,9.27,9.29,9.27,9.29,9.31,9.33,9.35,9.34,9.35,9.38,9.43,9.47,9.5,9.55,9.58,9.61,9.57,9.61,9.65,9.62,9.63,9.62,9.63,9.65,9.72,9.75,9.77,9.78,9.82,9.84,9.9,9.94,9.96,10.03,10.03,10.12,10.12,10.05,10.14,10.17,10.2,10.2,10.35,10.43,10.52,10.57,10.57,10.57,10.65,10.57,10.61,10.63,10.71,10.72,10.77,10.79,10.82,10.9,10.83,10.92,10.91,10.88,10.87,11,10.99,11.03,11.04,10.99,10.9,11,10.99,10.92,10.98,11.15,11.19,11.33,11.38,11.4,11.45,11.56,11.61,11.82,11.77,11.85,11.82,11.92,11.86,11.87,11.94,11.86,11.92,11.83,11.91,11.93,11.99,11.96,12.12,11.85,12.01,12.1,12.21,12.31,12.31,12.39,12.35,12.41,12.51)
> par2 = '12'
> par1 = 'additive'
> #'GNU S' R Code compiled by R2WASP v. 1.0.44 ()
> #Author: Prof. Dr. P. Wessa
> #To cite this work: AUTHOR(S), (YEAR), YOUR SOFTWARE TITLE (vNUMBER) in Free Statistics Software (v$_version), Office for Research Development and Education, URL http://www.wessa.net/rwasp_YOURPAGE.wasp/
> #Source of accompanying publication: Office for Research, Development, and Education
> #Technical description: Write here your technical program description (don't use hard returns!)
> par2 <- as.numeric(par2)
> x <- ts(x,freq=par2)
> m <- decompose(x,type=par1)
> m$figure
 [1] -0.0085902778  0.0070347222 -0.0245069444 -0.0208819444  0.0036180556
 [6]  0.0123263889 -0.0081319444  0.0078263889  0.0003263889  0.0023680556
[11]  0.0283263889  0.0002847222
> postscript(file="/var/www/html/rcomp/tmp/1guan1246720632.ps",horizontal=F,pagecentre=F,paper="special",width=8.3333333333333,height=5.5555555555556) 
> plot(m)
> dev.off()
null device 
          1 
> mylagmax <- length(x)/2
> postscript(file="/var/www/html/rcomp/tmp/2l1wr1246720632.ps",horizontal=F,pagecentre=F,paper="special",width=8.3333333333333,height=5.5555555555556) 
> op <- par(mfrow = c(2,2))
> acf(as.numeric(x),lag.max = mylagmax,main='Observed')
> acf(as.numeric(m$trend),na.action=na.pass,lag.max = mylagmax,main='Trend')
> acf(as.numeric(m$seasonal),na.action=na.pass,lag.max = mylagmax,main='Seasonal')
> acf(as.numeric(m$random),na.action=na.pass,lag.max = mylagmax,main='Random')
> par(op)
> dev.off()
null device 
          1 
> postscript(file="/var/www/html/rcomp/tmp/33s061246720632.ps",horizontal=F,pagecentre=F,paper="special",width=8.3333333333333,height=5.5555555555556) 
> op <- par(mfrow = c(2,2))
> spectrum(as.numeric(x),main='Observed')
> spectrum(as.numeric(m$trend[!is.na(m$trend)]),main='Trend')
> spectrum(as.numeric(m$seasonal[!is.na(m$seasonal)]),main='Seasonal')
> spectrum(as.numeric(m$random[!is.na(m$random)]),main='Random')
> par(op)
> dev.off()
null device 
          1 
> postscript(file="/var/www/html/rcomp/tmp/4ss2x1246720632.ps",horizontal=F,pagecentre=F,paper="special",width=8.3333333333333,height=5.5555555555556) 
> op <- par(mfrow = c(2,2))
> cpgram(as.numeric(x),main='Observed')
> cpgram(as.numeric(m$trend[!is.na(m$trend)]),main='Trend')
> cpgram(as.numeric(m$seasonal[!is.na(m$seasonal)]),main='Seasonal')
> cpgram(as.numeric(m$random[!is.na(m$random)]),main='Random')
> par(op)
> dev.off()
null device 
          1 
> 
> #Note: the /var/www/html/rcomp/createtable file can be downloaded at http://www.wessa.net/cretab
> load(file="/var/www/html/rcomp/createtable")
> 
> a<-table.start()
> a<-table.row.start(a)
> a<-table.element(a,'Classical Decomposition by Moving Averages',6,TRUE)
> a<-table.row.end(a)
> a<-table.row.start(a)
> a<-table.element(a,'t',header=TRUE)
> a<-table.element(a,'Observations',header=TRUE)
> a<-table.element(a,'Fit',header=TRUE)
> a<-table.element(a,'Trend',header=TRUE)
> a<-table.element(a,'Seasonal',header=TRUE)
> a<-table.element(a,'Random',header=TRUE)
> a<-table.row.end(a)
> for (i in 1:length(m$trend)) {
+ a<-table.row.start(a)
+ a<-table.element(a,i,header=TRUE)
+ a<-table.element(a,x[i])
+ if (par1 == 'additive') a<-table.element(a,m$trend[i]+m$seasonal[i]) else a<-table.element(a,m$trend[i]*m$seasonal[i])
+ a<-table.element(a,m$trend[i])
+ a<-table.element(a,m$seasonal[i])
+ a<-table.element(a,m$random[i])
+ a<-table.row.end(a)
+ }
> a<-table.end(a)
> table.save(a,file="/var/www/html/rcomp/tmp/5bc031246720632.tab") 
> 
> system("convert tmp/1guan1246720632.ps tmp/1guan1246720632.png")
> system("convert tmp/2l1wr1246720632.ps tmp/2l1wr1246720632.png")
> system("convert tmp/33s061246720632.ps tmp/33s061246720632.png")
> system("convert tmp/4ss2x1246720632.ps tmp/4ss2x1246720632.png")
> 
> 
> proc.time()
   user  system elapsed 
  1.334   0.641   2.191